the role of artificial intelligence in corporate innovation
TRANSCRIPT
The Role of Artificial Intelligence in Corporate Innovation
Dr. Dickson Lukose
Data Deluge
2
80%
20%
VIDEO IMAGE TEXT
VOICE
ENTERPRISE
IOT
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Data Deluge: Why?
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Convergence
4
Better
Artificial Intelligence
AlgorithmsPlayers:
- Enterprise
- Citizen
Players:
- Industry
Players:
- Academic
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Artificial Intelligence
5
Artificial Intelligence - the
theory and development of
computer systems able to
perform tasks normally
requiring human intelligence,
such as:
1. visual perception
2. speech recognition
3. decision-making and
4. translation between
languages.
Recent Achievements:
IBM Watson
Google’s Deep Mind: AlphaGO
Driverless Car
Autonomous Robots
(Boston Dynamics)
Google Translate
Intelligent Chat Bots
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Artificial Intelligence
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Artificial Intelligence Landscape
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Artificial Intelligence Technology Adoption
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Impacts of Artificial Intelligence & Automation
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Where machines could replace humans—and where they can’t (yet)
By Michael Chui, James Manyika, and Mehdi Miremadi
McKinsey Quarterly, 2016
Emergence of Data Science
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Data engineers build
and optimize the systems
that allow data scientists and
analysts to perform their
work.
Data Scientist is a
specialist that applies their
expertise in artificial
intelligence, statistics and
building machine learning
models to make predictions
and answer key business
questions.
Data Analysts deliver value to their
companies by taking
data, using it to answer
questions, and
communicating the
results to help make
business decisions.
Data Wrangler is a
person converting data into
a usable form so that they
can be easily used with
automated or semi-
automated tools.
Consequence
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Transformation
from Process Driven Enterprise
to Data Driven Enterprise
PROCESS-
DRIVE
ENTERPRISE
Slow Reaction to Market Dynamics Fast Reaction to Market Dynamics
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Evolution of Business Paradigm
Implication to Corporate Innovation
12
As artificial intelligence
technology improves,
predictions by machines
will increasingly take the
place of predictions by
humans.
The key challenges for executives will be:
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Prescription by machines
What will be the role
of human?
1. Shifting the training of employees
from a focus on prediction-related
skills to judgment-related ones;
2. Assessing the rate and direction of
the adoption of AI technologies in
order to properly time the shifting of
workforce training (not too early, yet
not too late); and
3. Developing management processes
that build the most effective teams of
judgment-focused humans and
prediction-focused AI agents.
Dr. Dickson Lukose (PhD)
GCS Agile Pty. Ltd.
Level 10, 461 Bourke Street
Melbourne, VIC 3000
Australia
Email: [email protected]
Phone: +61408510817